a function that uses filling colors for the exact and partial tuning of Bangdiwala, S. I., Ana S. Haedo, Marcela L. Natal and Andres Villaveces. The diagram of the agreement as an alternative to the receiver`s line of identification for diagnostic tests. Journal of Clinical Epidemiology, 61 (9), 866-874. Previously, we described many statistical indicators, such as Cohen`s Kap @ref pa (cohen-s-kappa) and weighted Kappa @ref (weighted kappa), for the assessment of agreement or agreement between two councils (judges, observers, clinicians) or two measurement methods. J. Martin Bland and Douglas G. Altman (1986) Statistical methods for assessing the consistency between two methods of clinical measurement.

Lancet 1 307-310 Draw Bland Altman plots and application diagrams with an identity line. Weights can be indicated to allow partial matching taking into account non-diagonal cell contributions. Partial matching is generally represented in the display by a lighter shade, as indicated fill_col (d) depending on the weights. This article describes how they establish a pattern of match in the R.-Vector weights for the large successive areas observed, which is used in statistics on the forces of the agreement, as well as for the nuance. The first element should be 1. This chapter describes the Concordance Diagram (S. I. Bangdiwala 1985) which provides a solution to visualize the strength of the agreement between two methods that measure on the ordinal scale. For example, the chord diagram can be used to visually compare two diagnostic or classification methods. Note that the chord diagram is generally recommended for ordinal categoristic variables. The function creates a matrix of diagrams.

The top panel is made up of dispersal diagrams with an identity line. The lower surface consists of the Bland-Altman plot (s) with confidence limits and distortions, using the red polka dot line and the horizontal line that crosses the origin of black. Representation of a confusion matrix for the time of “k” time k) during which the observed or expected diagonal elements are represented by superimposed black and white rectangles. The function also calculates a statistic that measures the intensity of compliance (proportion of corresponding surface totals). Chart of agreement. The concordance diagram is a visual representation of a k contingency table × quadratic k. It is designed with the following steps (S. Bangdiwala and Shankar 2013, Friendly, Meyer and Zeileis (2015)): cotabplot can be used for stratified analyses (see examples). A weight vector of length 1 only means a strict match, each additional element increases the maximum number of disagree steps.